Käärik, M.; Arulepp, M.; Käärik, M.; Maran, U.; Leis, J. Characterization and prediction of double-layer capacitance of nanoporous carbon materials using the Quantitative nano-Structure-Property Relationship approach based on experimentally determined porosity descriptors. Carbon 2020, 158, 494-504.

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Käärik, M.; Arulepp, M.; Käärik, M.; Maran, U.; Leis, J. Characterization and prediction of double-layer capacitance of nanoporous carbon materials using the Quantitative nano-Structure-Property Relationship approach based on experimentally determined porosity descriptors. Carbon 2020, 158, 494-504.

QDB archive DOI: 10.15152/QDB.210   DOWNLOAD

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Property Exp_C_CV,g: Gravimetric cathodic capacitance [F/g]

Eq.9: Model for gravimetric cathodic capacitance

Regression model (regression)

Open in:QDB ExplorerQDB Predictor

NameTypen

R2

σ

Traning settraining1100.9137.310

Property Exp_C_CV,vol: Volumetric cathodic capacitance [F/cm3]

Eq.10: Model for volumetric cathodic capacitance

Regression model (regression)

Open in:QDB ExplorerQDB Predictor

NameTypen

R2

σ

Training settraining1100.9465.086

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  • Käärik, M.; Arulepp, M.; Käärik, M.; Maran, U.; Leis, J. Data for: Characterization and prediction of double-layer capacitance of nanoporous carbon materials using the Quantitative nano-Structure-Property Relationship approach based on experimentally determined porosity descriptors.. QsarDB repository, QDB.210. 2019. https://doi.org/10.15152/QDB.210

  • Käärik, M.; Arulepp, M.; Käärik, M.; Maran, U.; Leis, J. Characterization and prediction of double-layer capacitance of nanoporous carbon materials using the Quantitative nano-Structure-Property Relationship approach based on experimentally determined porosity descriptors. Carbon 2020, 158, 494-504. https://doi.org/10.1016/j.carbon.2019.11.017

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dc.date.accessioned2019-11-06T12:01:28Z
dc.date.available2019-11-06T12:01:28Z
dc.date.issued2019-11-06
dc.identifier.urihttp://hdl.handle.net/10967/210
dc.identifier.urihttp://dx.doi.org/10.15152/QDB.210
dc.description.abstractThe development of nanoporous carbon-based energy storage is a fast-growing area. To assist these developments, it is necessary to establish simple criteria and relationships between electric double-layer (EDL) capacitance and the nature of porous carbon used as an electrode material. Under special attention is carbide-derived carbon (CDC) due to high content of micropores and well tunable pore size distribution. In the current study, experimentally determined structure descriptors were compiled for 110 CDC materials, and the Quantitative nano-Structure-Property Relationship (QnSPR) approach was used for the statistical analysis and modelling of the EDL capacitance. Experimentally determined structure descriptors – the variable numeric porosity characteristics of CDC materials, were determined from N2 and CO2 adsorption measurements. Electrochemical characterization of CDC based electrodes was performed in 3-electrode test-cells using carbon reference electrode and 1.5 M spiro-(1,1')-bipyrrolidinium tetrafluoroborate (SBP-BF4) in acetonitrile as the electrolyte. It was shown that combining experimentally derived molecular descriptors of porosity, like specific surface area and volume-fractions of pore size distribution, calculated by density functional theory, allows accurate prediction of EDL capacitance. The QnSPR-s describing the gravimetric (R2=0.91) and the volumetric cathodic capacitance (R2=0.95) were developed for the nanoporous carbon in SBP-BF4 electrolyte.
dc.publisherMaike Käärik
dc.publisherMati Arulepp
dc.publisherMeelis Käärik
dc.publisherUko Maran
dc.publisherJaan Leis
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleKäärik, M.; Arulepp, M.; Käärik, M.; Maran, U.; Leis, J. Characterization and prediction of double-layer capacitance of nanoporous carbon materials using the Quantitative nano-Structure-Property Relationship approach based on experimentally determined porosity descriptors. Carbon 2020, 158, 494-504.
qdb.property.endpoint6. Other (Double-layer capacitance)en_US
qdb.descriptor.applicationTouchWin 1.1
qdb.prediction.applicationR 3.5.2
bibtex.entryarticleen_US
bibtex.entry.authorKäärik, Maike
bibtex.entry.authorArulepp, Mati
bibtex.entry.authorKäärik, Meelis
bibtex.entry.authorMaran, Uko
bibtex.entry.authorLeis, Jaan
bibtex.entry.doi10.1016/j.carbon.2019.11.017en_US
bibtex.entry.journalCarbonen_US
bibtex.entry.pages494-504
bibtex.entry.titleCharacterization and prediction of double-layer capacitance of nanoporous carbon materials using the Quantitative nano-Structure-Property Relationship approach based on experimentally determined porosity descriptors.en_US
bibtex.entry.volume158
bibtex.entry.year2020
qdb.model.typeRegression model (regression)en_US


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